FIX: PEP8 - E265 block comment should start with '# '

Author: miykael

doc/sphinxext/ipython_console_highlighting.py

@@ -3,7 +3,7 @@
 """reST directive for syntax-highlighting ipython interactive sessions.
 """
 
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Needed modules
 
 # Standard library
@@ -18,11 +18,11 @@
 from sphinx import highlighting
 
 
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Global constants
 line_re = re.compile('.*?\n')
 
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Code begins - classes and functions
 
 class IPythonConsoleLexer(Lexer):
@@ -95,6 +95,6 @@ def get_tokens_unprocessed(self, text):
                                       pylexer.get_tokens_unprocessed(curcode)):
                 yield item
 
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Register the extension as a valid pygments lexer
 highlighting.lexers['ipython'] = IPythonConsoleLexer()

doc/sphinxext/numpy_ext/numpydoc.py

@@ -107,9 +107,9 @@ def setup(app, get_doc_object_=get_doc_object):
     app.add_domain(NumpyPythonDomain)
     app.add_domain(NumpyCDomain)
 
-#------------------------------------------------------------------------------
+# ------------------------------------------------------------------------------
 # Docstring-mangling domains
-#------------------------------------------------------------------------------
+# ------------------------------------------------------------------------------
 
 from docutils.statemachine import ViewList
 from sphinx.domains.c import CDomain

examples/fmri_ants_openfmri.py

@@ -458,8 +458,8 @@ def create_fs_reg_workflow(name='registration'):
     warpmean.inputs.invert_transform_flags = [False, False]
     warpmean.inputs.terminal_output = 'file'
     warpmean.inputs.args = '--float'
-    #warpmean.inputs.num_threads = 4
-    #warpmean.plugin_args = {'sbatch_args': '--mem=4G -c 4'}
+    # warpmean.inputs.num_threads = 4
+    # warpmean.plugin_args = {'sbatch_args': '--mem=4G -c 4'}
 
     """
     Transform the remaining images. First to anatomical and then to target
@@ -1109,7 +1109,7 @@ def get_subs(subject_id, conds, run_id, model_id, task_id):
                                   fwhm=args.fwhm,
                                   subjects_dir=args.subjects_dir,
                                   target=args.target_file)
-    #wf.config['execution']['remove_unnecessary_outputs'] = False
+    # wf.config['execution']['remove_unnecessary_outputs'] = False
 
     wf.base_dir = work_dir
     if args.plugin_args:

examples/fmri_fsl.py

@@ -639,6 +639,6 @@ def subjectinfo(subject_id):
 if __name__ == '__main__':
     l1pipeline.write_graph()
     outgraph = l1pipeline.run()
-    #l1pipeline.run(plugin='MultiProc', plugin_args={'n_procs':2})
+    # l1pipeline.run(plugin='MultiProc', plugin_args={'n_procs':2})
 
 

examples/fmri_fsl_reuse.py

@@ -253,8 +253,8 @@ def subjectinfo(subject_id):
 """
 
 if __name__ == '__main__':
-    #level1_workflow.write_graph()
+    # level1_workflow.write_graph()
     level1_workflow.run()
-    #level1_workflow.run(plugin='MultiProc', plugin_args={'n_procs':2})
+    # level1_workflow.run(plugin='MultiProc', plugin_args={'n_procs':2})
 
 

examples/fmri_slicer_coregistration.py

@@ -13,7 +13,7 @@
 
 """
 
-#raise RuntimeWarning, 'Slicer not fully implmented'
+# raise RuntimeWarning, 'Slicer not fully implmented'
 from nipype.interfaces.slicer import BRAINSFit, BRAINSResample
 
 

examples/fmri_spm.py

@@ -21,7 +21,7 @@
 import os                                    # system functions
 
 from nipype import config
-#config.enable_provenance()
+# config.enable_provenance()
 
 from nipype.interfaces import spm, fsl
 

examples/fmri_spm_auditory.py

@@ -93,7 +93,7 @@
 """Uncomment the following line for faster execution
 """
 
-#segment.inputs.gaussians_per_class = [1, 1, 1, 4]
+# segment.inputs.gaussians_per_class = [1, 1, 1, 4]
 
 """Warp functional and structural data to SPM's T1 template using
 :class:`nipype.interfaces.spm.Normalize`.  The tutorial data set

examples/fmri_spm_dartel.py

@@ -43,8 +43,8 @@
 fsl.FSLCommand.set_default_output_type('NIFTI')
 
 # Set the way matlab should be called
-#mlab.MatlabCommand.set_default_matlab_cmd("matlab -nodesktop -nosplash")
-#mlab.MatlabCommand.set_default_paths('/software/spm8')
+# mlab.MatlabCommand.set_default_matlab_cmd("matlab -nodesktop -nosplash")
+# mlab.MatlabCommand.set_default_paths('/software/spm8')
 
 """
 Setting up workflows

examples/fmri_spm_face.py

@@ -87,7 +87,7 @@
 """Uncomment the following line for faster execution
 """
 
-#segment.inputs.gaussians_per_class = [1, 1, 1, 4]
+# segment.inputs.gaussians_per_class = [1, 1, 1, 4]
 
 """Warp functional and structural data to SPM's T1 template using
 :class:`nipype.interfaces.spm.Normalize`.  The tutorial data set
@@ -352,7 +352,7 @@ def makelist(item):
 contrats for a factorial design.
 """
 
-#l1designref.factor_info = [dict(name = 'Fame', levels = 2),
+# l1designref.factor_info = [dict(name = 'Fame', levels = 2),
 #                           dict(name = 'Rep', levels = 2)]
 
 l1pipeline.inputs.analysis.modelspec.subject_info = subjectinfo